Browsing by Author "Winarso, Eddy"

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    ANALYSIS PROFITABILITY OF COMPANY BEFORE AND AFTER MERGER (A case study on the company's merger in 2009 to 2014 are listed in Indonesia Stock Exchange)
    (1st Comparative Asia Africa Governmental Accounting Conference (CAAGA), Mercu Buana University, 16 -17, 2016-11) Winarso, Eddy; Park, Joung hyun
    Merger is combination of two or more companies to establish a new company. Merger happens when a company takes over all the operations of other business entities and the entities which taken over is dissolved. This research aims to analyze profitability of company before and after merger in companies listed in Indonesia Stock Exchange. Profitability is measured by using ratios: Net Profit Margin (NPM), Return on Equity (ROE), Return on Investment (ROI). This research takes population from all of the company that done merger in period of 2009-2014. The samples of this research consists of 3 firms from non-banking category are listed in Indonesia Stock Exchange. The ratios of data obtained from companyā€™s financial statements are published. The analysis used to test the hypothesis of this research is descriptive and comparative analysis with a statistical test Paired Sample T Test. The results from Paired Sample T Test shows that there was difference for Net Profit Margin, Return on Equity and Return On Investment ratios before and after merger in period of observation and testing.
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    COMPARISON OF FINANCIAL DISTRESS ANALYSIS USING THE ā€œZā€ SCORE MODIFICATION, X-SCORE, G-SCORE AND S-SCORE MODELS TO ANALYZE THE ACCURACY OF THE BANKRUPTCY PREDICTION IN THE MINING INDUSTRY PERIOD OF 2016 ā€“ 2018
    (International Journal of Psychosocial Rehabilitation, Vol.24, Issue 02, 2020) Winarso, Eddy; Kusumah, R. Wedi Rusmawan; Kartadjumena, Eriana; Sherlita, Erly; Sukmawati, Fitri
    Coal mining companies in Indonesia have a high business risk because most of the production is exported abroad, especially in China and India. The quality of coal in Indonesia is in the low category because it only produces 5,100 to 5,100 cal / gram. With fluctuations in world prices and unstable demand resulting in fluctuations in profits resulting in disrupted company performance, thus experiencing financial distress. In this study the researchers chose a coal mining company because of the number of companies listed in the stock exchange with 24 companies and 4 of them did not announce their annual reports continuously so that the companies studied were 20 companies from 2016 to 2018 company financial statement data which were processed using the analysis model financial distress revealed by (1) Z "Altman Modification score, (2) X score from Zmijewski, (3) Model G - Score from Grover, and (4) S - score from Grover to analyze the accuracy of bankruptcy predictions. The results show that (1) There are differences in the Accuracy of Bankruptcy Prediction between the Modified Z ā€-Score Altman Model and the Springate S-Score Model for coal mining companies listed on the Stock Exchange in the 2016-2018 period. (2) There is a difference in the Accuracy of Bankruptcy Prediction between the Modified Z ā€-Score Altman Model and the Zmijewski X-Score on coal mining companies listed on the Stock Exchange in the 2016-2018 period. (3) There is a difference in the Accuracy of Bankruptcy Prediction between the Modified Z ā€- Score Altman Model and the Grover G-Score Model for coal mining companies listed on the Stock Exchange in the 2016-2018 period. (4) There is a difference in the Accuracy of Bankruptcy Prediction between the Springate S-Score Model and the Zmijewski X-Score in the coal mining companies listed on the Stock Exchange in the 2016-2018 period. (5) There is a difference in the Accuracy of Bankruptcy Prediction between the S-Score Springate Model and the Grover G-Score Model in coal mining companies listed on the Stock Exchange in the 2016-2018 period. (6) There is a difference in the Accuracy of Bankruptcy Prediction between Zmijewski's X-Score Model and Grover's GScore Model in coal mining companies listed on the Stock Exchange in the 2016-2018 period.
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    THE DETERMINANT FACTORS OF OPERATIONAL PERFORMANCE IN INDONESIAN BANKING COMPANIES
    (International Journal of Psychosocial Rehabilitation, Vol.24, Issue 02, 2020) Sherlita, Erly; Octavia, Evi; Kusumah, R. Wedi Rusmawan; Sukmawati, Fitri; Winarso, Eddy
    This study aims to examine the determinant factors of operational performance in the Indonesia banking companies. The factors are tested include public funds, growth of earning assets, credit risks, liquidity risks and capital adequcy on operational performance. The data use a new unbalanced data panel from 203 financial reports of 44 banking companies that listed in the Indonesia Stock Exchange for the period 2013-2017. The results showed that public funds and the growth of earning assets have a significant negative effect on operational performance. Meanwhile, credit risk as measured by a non-performing loan has a significant positive effect on operational performance. However, this study found liquidity risk and leverage risk have no effect on operational performance.
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    DETERMINING FACTORS OF DIVIDEND POLICY IN INDONESIA
    (International Journal of Psychosocial Rehabilitation, Vol. 24, Issue 1, 2020) Bertuah, Eka; Baherans, Dede Maskat; Siskawati, Sinta Aria Dewi; Winarso, Eddy
    The purpose of this study was to find out financial ratios that could be the determinant factors of dividend policy in manufacturing companies listed on the Indonesia Stock Exchange during the period 2015 to 2017. Purposive sampling was used in sampling techniques with the acquisition of 118 companies as research samples. The data analysis technique used in this study is the discriminant test with the Mahalanobis Stepwise method. The results of this study indicate that ROA, NPM, Firm Size, and Current Ratio can distinguish significantly between companies that distribute dividends with companies that do not distribute dividends. Those four ratios are ranked according to their discriminative power. ROA came out as strongest factor, followed by NPM, Firm Size. While Current Ratio is the weakest factor. The higher those four financial ratios, the more likely a company is distributing dividends. The classification results also show that 41 companies tend to distribute dividends, 55 companies tend not to distribute dividends, 22 other tendencies are not determined. This study provides evidence that manufacturing companies in Indonesia are more following what is hypothesized by signaling theory and life cycle theory.
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    FAKTOR YANG MENENTUKAN INVESTOR DALAM PENGAMBILAN KEPUTUSAN PEMBELIAN SAHAM SEKTOR INDUSTRI FARMASI (STUDI KASUS TERHADAP INDUSTRI FARMASI YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2013 ā€“ 2016)
    (Seminar Nasional Akuntansi dan Bisnis (SNAB), Fakultas Ekonomi Universitas Widyatama, 2017-07-20) Winarso, Eddy; Hadian, Niki
    Penelitian ini bertujuan untuk mengetahui pengaruh rasio keuangan terhadap nilai perusahaan farmasi yang terdaftar di Bursa Efek Indonesia (BEI) selama periode 2013-2016, baik secara parsial maupun simultan. Rasio keuangan yang diteliti yaitu: current ratio (CR), debt to equity ratio (DER), return on assets (ROA), total assets turn over (TATO) dan price earnings ratio (PER). Populasi dalam penelitian ini adalah perusahaan farmasi yang terdaftar di Bursa Efek Indonesia (BEI) pada tahun 2013 sampai 2016. Sampel penelitian sebanyak 10 perusahaan farmasi yang diperoleh dengan teknik purposive sampling. Teknik pengumpulan data yang digunakan adalah dokumentasi. Analisis data dilakukan dengan teknik analisis data panel. Hasil penelitian menunjukkan bahwa secara parsial variabel ROA, TATO dan PER berpengaruh signifikan terhadap nilai perusahaan, sedangkan CR dan DER tidak berpengaruh signifikan. Secara simultan variabel CR, DER, ROA, TATO dan PER berpengaruh terhadap nilai perusahaan. Variabel CR, DER, ROA, TATO dan PER dapat menjelaskan nilai perusahaan pada perusahaan farmasi yang terdaftar di Bursa Efek Indonesia (BEI) pada tahun 2013-2016 sebesar 82,65%.
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    THE IMPLEMENTATION OF STUDENT CENTERED LEARNING (SCL) MODEL IN ACCOUNTING INFORMATION SYSTEM TO INCREASE STUDENT CORE COMPETENCY
    (2nd International Conference on Accounting Business & Economics (ICABEC 2012), Faculty of Management and Economics Universiti Malaysia Terengganu, 2012-11-10) Winarso, Eddy
    Student Centered Learning (SCL) is a learning that puts students at the center of the learning process, emphasis on the interests, needs and abilities of individuals. Promising model of learning that explores the characteristics of intrinsic motivation is to build quality human resources. Student Centered Learning problem solving is a learning concept which helps teachers to link between the subject being taught with real-world situations and encourage the students make connections between the knowledge possessed by the application in their daily lives. Seven major components contextual learning, are: (1) constructivism, (2) ask (questioning), (3) inquiry, (4) learning community, (5) modeling, (6) reflection, and (7) authentic assessment. Accounting Information Systems course requires and use logical reasoning as a tool to analyze problems that occur in the real world. Therefore the system of Learning Student Centered Learning is suitable for accounting information systems course. Accounting Information Systems course is supporting other academic subjects such as Auditing, Financial Accounting, Management Accounting, and others. The low competence of students in Accounting Information Systems Course will have an impact on other subjects that need to be a fundamental change, with the implementation of Student Centered Learning, it is expected that students are able to reflect on the theory obtained from the text book with the real world so there is no longer the gap is so a lot of theory with the actual situation in the future if the student must go into society, so have the advantage and competitiveness in the world of work.
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    THE INFLUENCE OF MONETARY POLICY (BI RATE) ON PROFITABILITY OF COMMERCIAL BANKS IN INDONESIA
    (Universitas Surabaya, 2013-03-13) Amaliawiati, Lia; Winarso, Eddy
    ABSTRACT One of the monetary policy of the Central Bank Indonesia interest rate is called BI rate (Bank Indonesia Rate), changes in the BI rate will affect the money market interest rates, deposit rates and lending rates although the mechanism of monetary policy is in the process requires time (time lag). BI rate effectively influence the performance of the bank. Determination of interest rates either by bank management is one of the keys to success in obtaining bank profits (profitability by using ROA and NIM). This study aims to: (1) analyze how the effects of changes in the BI rate to the level of bank profitability (ROA and NIM), (2) How long does it take (time lag) changes effective BI rate will significantly influence the level of profitability, and (3) what variables affect the profitability of the conventional banks. Analytical techniques that will be used in this study is multiple regression is to obtain an overall picture of the relationship and influence between the dependent and independent variables. The object of research is the profitability of conventional commercial banks listed on the Indonesia Stock Exchange since November 2005 (the year from the enactment of the BI rate) through October 2012 using data times series monthly. Determination of the sample is using simple random sampling. Methods of analysis using multiple regression analysis based on secondary data, and to determine the accuracy of the model tested on some classical assumptions underlying the regression models include the test for normality, multicolinearity, and autocorrelation heteroscedasticity. BIRate has negative effect on ROA and showed a statistically significant number, but BI Rate did not show a statistically significant rate by setting the standard error of 5% on NIM and has negative direction. Influential BI Rate to ROA is happened with 1 month time lag, meanwhile BI Rate was not having an effect on the NIM with 1 month time lag. Based on the semiā€partial correlation coefficients, BIRate very great influence in determining of ROA ranks, meanwhile Operational Cost to Operational Income (OCTOI) is great influence to determine of NIM, while BI Rate ranks last of the NIM Keywords: BI Rate, Loan Rate, LDR, CAR, OCTOI, NPL, ROA and NIM
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    THE INFLUENCE OF THIRD PARTY FUNDS AND CREDIT DISTRIBUTION TO NON-PERFORMING LOAN (NPL) (Empirical Study on Conventional Banking Listed on Indonesia Stock Exchange Period013-2016)
    (Journal of Advanced Research in Dynamical & Control Systems, Vol. 11, 03-Special Issue, 2019) Winarso, Eddy; Putri, Diana Maryanti
    This study aims to determine the effect of third party funds and lending to non-performing loans in conventional banking listed on the Indonesia Stock Exchange period 2013-2016. Third party funds and lending as independent variables, while non-performing loan as a dependent variable. The research method used is descriptive and verifikatif. The conventional banking population listed on the Indonesia Stock Exchange period 2013-2016 amounted to 41 banks. The technique of determining the sample is non probability sampling with purposive sampling method, so that the number of samples of 30 banks is obtained. Data analysis using multiple linear regression at significance level of 5%. Data processing program and analyze data using Eviews 7. The results showed that partially and simultaneously third party funds and lending affect the non-performing loan. While the amount of third party funds and credit distribution in contributing to non-performing loan that is equal to 56.7%.
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    Pengaruh Perbedaan Metode Penyusutan antara Penyusutan Komersial dengan MACRS ( Modified Accelerated Cost Recovery System)
    (Unit Penelitian dan Pengabdian Kepada Masyarakat Sekolah Tinggi Ilmu Ekonomi Bandung, 2000-11) Winarso, Eddy
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